Advisory Board and Editors Visual Analytics

Journal Factsheet
A one-page PDF to help when considering journal options with co-authors
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I told my colleagues that PeerJ is a journal where they need to publish if they want their paper to be published quickly and with the strict peer review expected from a good journal.
Sohath Vanegas,
PeerJ Author
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Chintan Amrit

Chintan Amrit is an Associate Professor at the Department of Business Analytics, at the University of Amsterdam. He has completed his PhD from the University of Twente in the area of Coordination in Software Development, having started it at RSM Erasmus University. He holds a master’s degree in Computer Science from the Indian Institute of Science, Bangalore. In the past, he has worked for three years as a software engineer. His research interests are in the area of business intelligence (using machine learning), open-source development and mining software repositories and applying analytics in projects that focus on the UN’s sustainable development goals. He serves as a department editor of IEEE Transactions in Engineering Management, coordinating editor of Information Systems Frontiers journal, an associate editor of PeerJ CS journal, and is a regular track chair at ECIS.

Li-minn Ang

Li-minn Ang is currently the Professor of Electrical and Computer Engineering at the School of Science and Engineering at University of the Sunshine Coast (USC). His research interests are in computer, electrical and systems engineering including Internet of Things (IoT), intelligent systems and data analytics, machine learning, visual information processing, embedded systems, wireless multimedia sensor systems, reconfigurable computing (FPGA) and the development of innovative technologies for real-world systems including smart cities, engineering, agriculture, environment, and health.

Mario Luca Bernardi

I received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.

Since 2003 I have worked as a researcher in the field of software engineering writing more than 90 papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering, and re-engineering, with a particular interest in software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as a reviewer of papers submitted to some of the main journals and magazines in the field of data and process mining, software engineering, software maintenance, program comprehension, and the application of computational intelligence approaches in the above fields.
Currently, I am an Senior Researcher at University of Sannio, holding the course of "Pervasive Computing".

Christian Bird

Christian Bird is a researcher in the empirical software engineering group at Microsoft Research.  Christian received B.S. from BYU and his Ph.D. from U.C. Davis.

Olga De Troyer

Olga De Troyer has a Masters degree in Mathematics and a Ph.D. in Computer Sciences. She has held research positions in industry and at universities. Since 1998 she is professor in the Computer Science Department of the Vrije Universiteit Brussel (Belgium) where she is co-director of the WISE research lab. Her research focus is on conceptual modeling formalisms and design methodologies. Over the years, the focus has moved from Database over Web systems towards Virtual Reality and Serious Games.

María José Del Jesus

She received the M.Sc. and Ph.D. degrees in Computer Science from the University of Granada, Spain, in 1994 and 1999, respectively.
She is an Associate Professor with the Department of Computer Science, University of Jaén, Spain.
Her current research interests include evolutionary fuzzy systems, subgroup discovery, data preparation, neural networks, knowledge extraction based on evolutionary algorithms, and data science.
Director of the Intelligent Systems and Data Mining Research Group.

Lalit Garg

Prof. Lalit Garg is an Associate Professor in Computer Information Systems at the University of Malta, Malta, and an honorary lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. Prof Garg has supervised 200+ Masters' dissertations, 2 DBA and 5 PhD theses and published 150+ high-impact publications in refereed journals/conferences/books, 17 edited books and 22 patents. He has delivered numerous keynote speeches, organised/chaired international conferences, and consulted countless public and private organisations for information systems implementation and management. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), information systems, management science and their applications, mainly in healthcare and medical domains. He participates in many EU and locally funded projects, including a one million euro Erasmus+ Capacity-Building project in Higher Education (CBHE), titled Training for Medical Education via Innovative eTechnology (MediTec) and Malta Council of Science and Technology's Space Research Funds. The University of Malta has awarded him the 2021-22 Research Excellence Award for exploring Novel Intelligent Computing Methods for healthcare requirements forecasting, allocation and management (NICE-Healthcare).

Henning Hermjakob

As co-founder of the HUPO Proteomics Standards Initiative (PSI), Henning Hermjakob contributed to the development of a broad range of community data representation standards for proteomics and interactomics. Based on the trust and collaborative spirit built up in the development of data representation standards, he coordinated the next step, the intensive collaboration of proteomics and interactomics data resources globally in the IMEx [3] and ProteomeXchange [4] consortia, providing infrastructure support for the move towards an open data culture in proteomics. Building on his experience in interactomics, he is now co-PI of the Reactome Pathways database [1] and the BioModels resource of systems biology models [2]. Current research interests comprise distributed data resources (http://omicsdi.org) and complex data visualisation.

1. Fabregat A, et al. The Reactome pathway Knowledgebase. Nucleic Acids Res. 2016 Jan 4;44(D1):D481-7.
2. Chelliah V, et al. BioModels: ten-year anniversary. Nucleic Acids Res. 2015 Jan;43 (Database issue):D542-8.
3. Orchard S, et al. Protein interaction data curation: the International Molecular Exchange (IMEx) consortium. Nat Methods. 2012 Mar 27;9(4):345-350.
4. Vizcaíno JA, et al. ProteomeXchange provides globally coordinated proteomics data submission and dissemination. Nat Biotechnol. 2014 Mar 10;32(3):223-6.
5. Lander ES, et al. Initial sequencing and analysis of the human genome.
Nature. 2001 Feb 15;409(6822):860-921.

Harry Hochheiser

My research has covered a range of topics, including human-computer interaction, information visualization, bioinformatics, universal usability, security, privacy, and public policy implications of computing systems. I am currently working on a variety of NIH-funded projects, including areas such as bioinformatics research portals, visualization for review of chart records, and tools for aiding the discovery of animal models of human diseases.

Yifan Hu

Yifan Hu is a Principal Research Scientist at Yahoo Labs. Previously he worked at AT&T Labs, Wolfram Research, and Daresbury Lab. He is a contributor to the Graphviz graph drawing system. His research interests include information visualization, machine learning, and numerical and combinatorical algorithms mining.

Tariq Masood

Reader in Design, Manufacturing and Engineering Management, University of Strathclyde, Glasgow.

Interested in robotics, human-machine interaction, artificial intelligence, machine learning, computer vision, visual analytics and Industry 4.0.